Reka AI Multimodal Models
Reka AI ikambani yekutsvagisa inovaka natively multimodal modhi inonzwisisa zvinyorwa, mifananidzo, vhidhiyo, uye odhiyo pamwechete.
Pfupiso
Its compact, efficient models aim to match much larger rivals while being deployable by enterprises on their own infrastructure.
Kudzika Kwakadzika
Reka AI yakavambwa muna 2022 nevaongorori vanosanganisira Yi Tay naDani Yogatama, alumni we Google Brain, DeepMind, uye FAIR. Mhuri yaro yemureza, Reka Core, Flash, uye Edge, yakagadzirwa kubva pakutanga kuti ive multimodal pane kubhaiza kuona pamuenzaniso wemavara. Reka Core inokwikwidza nemhando dzemuganho nepo Flash uye Edge yakananga kumhanya uye madiki tsoka, ine Edge saizi ye-pa-mudziyo kana inomanikidzirwa marongero. Chinhu chinotsanangudza kugona kufunga pamusoro pevhidhiyo uye odhiyo, kwete kungori mifananidzo, saka modhi inogona kuona clip uye kupindura mibvunzo nezve zviitiko nekufamba kwenguva. Reka inosimbisa kugona kwedata uye inoita kuti mabhizinesi aite mamodheru munzvimbo dzakavanzika, achigadzirisa dhata-kugara uye kuchengetedzeka kunetseka kunovharira mamwe makambani kushandisa makore-chete APIs.
Technical Insight
Native multimodality inoreva mifananidzo, mavhidhiyo mafuremu, uye odhiyo anoiswa tokeni uye anodyiswa mune imwecheteyo Transformer padivi pezvinyorwa, saka kutarisisa-modal kunobatanidza izwi rinotaurwa, chinhu chiri pa-screen, uye mubvunzo wakanyorwa mune imwe inomiririra yakagovaniswa. Yevhidhiyo, iyo modhi inotora mafuremu nekufamba kwenguva uye inoisa kodhi kurongeka kwechinguvana, ichigonesa mibvunzo nezve kutevedzana kwezviitiko. Reka zvakare inodyara zvakanyanya mu curated, inoshanda data data, ichivavarira yakasimba mhando paparameta pane kukwirisa.
Strategic Impact
Vendor strategy
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
Mutengo uye bhajeti
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
Ngozi uye kuchengeteka
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.
Ramangwana reReka AI Multimodal Models
Tarisira kuti Reka asundire zvakadzika mukunzwisisa kwenguva refu kwevhidhiyo, chaiyo-nguva yekuteerera kupindirana, uye agetic workflows apo modhi inoona skrini kana chiitiko uye inotora matanho. Bhizinesi rayo, rakazvimiririra-deployment angle inoisa iyo kune inodzorwa maindasitiri anoda muganhu kugona pasina kutumira data kune vechitatu mapato. Sezvo multimodal ichiva matanda etafura, kubheja kwaReka nderekuti kushanda nesimba uye pane-nzvimbo kutonga, kwete saizi yakasvibira chete, inokunda vatengi vebhizinesi vachitsvaga kutonga pamusoro pemutengo uye data.
Real-World Implementation
Kupfupikisa uye kupindura mibvunzo pamusoro pemusangano weawa-yakareba kana mavhidhiyo ehurukuro, kusanganisira ndiani akati chii uye rini
Kuongorora mifananidzo yechigadzirwa pamwe nevatengi odhiyo wongororo pamwe chete kuti uwane ruzivo rwekutengesa
Kumhanyisa yakavanzika, pane-nzvimbo multimodal mubatsiri mukati mebhangi kana chipatara chisingakwanise kushandisa yeruzhinji gore APIs
Maturusi ekugonesa maturusi anotsanangura mavhidhiyo uye kunyora odhiyo panguva imwe chete kune vashandisi
Njodzi & Guardrails
Zviziviso zvekutanga zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows.
Mitengo yeAPI kana shanduko yepolicy inogona kukanganisa fungidziro husiku.
Kutsamira kune mumwe-mutengesi kunowedzera kukiya-mukati uye mari yekufambisa.
Implementation Roadmap
Ongorora vanopa uchishandisa ako ega mabasa uye dataset.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.
Ramba Uchiongorora
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What is Reka AI Multimodal Models?
Reka AI ikambani yekutsvagisa inovaka natively multimodal modhi inonzwisisa zvinyorwa, mifananidzo, vhidhiyo, uye odhiyo pamwechete. Yayo compact, inobudirira modhi inovavarira kuenzanisa vakwikwidzi vakakura uku ichiendeswa nemabhizinesi pazvivakwa zvavo.
Ko 'natively multimodal' inorevei kune mhando dzaReka?
Reka akavaka mamodheru ayo kuti agadzirise zvinyorwa, mifananidzo, vhidhiyo, uye odhiyo pamwe chete pane kuvharira chiono pane chinyorwa-chete modhi.
Ndeupi hunyanzvi hunosiyanisa Reka kupfuura nzwisiso yemufananidzo?
Reka modhi inogona kuona mavhidhiyo uye kugadzirisa odhiyo, kufunga nezve kutevedzana kwezviitiko nekufamba kwenguva.
Ndeapi matanho matatu makuru mumhuri yemuenzaniso waReka?
Reka inopa Core (inonyanya kugona), Flash (nekukurumidza), uye Edge (compact) tiers.
Sei Reka achisimbisa kutumirwa kwega?
Kutumirwa kwakavanzika kunogadzirisa dhata-kugara uye kuchengetedzeka kunetseka kunodzivirira mamwe mafemu kushandisa makore-chete APIs.
Vavambi vaReka vakamboshanda pamhando dzipi dzemasangano?
Reka yakavambwa nevatsvakurudzi vanobva mumalebhu anosanganisira Google Brain, DeepMind, neFAIR.